Latest AI and machine learning research in universal precautions for healthcare professionals.
Several limitations in algorithms and datasets in the field of X-ray security inspection result in t...
Neural network-based inverse lithography technology (NNILT) has been used to improve the computation...
This paper presents a learning-based method for source localization in the presence of directional i...
MOTIVATION: Knowing the sensitivity of a viral strain versus a monoclonal antibody is of interest fo...
Bacteria, especially foodborne pathogens, seriously threaten human life and health. Rapid discrimina...
Multimodal brain networks characterize complex connectivities among different brain regions from bot...
Host-pathogen protein interactions (HPPIs) play vital roles in many biological processes and are dir...
BACKGROUND: Automated radiologic analysis using computer-aided detection software (CAD) could facili...
A mask-based lensless camera optically encodes the scene with a thin mask and reconstructs the image...
Plasmids are mobile genetic elements that play a key role in microbial ecology and evolution by medi...
Antibodies specifically bind to antigens and are an essential part of the immune system. Hence, anti...
Reverse vaccinology (RV) is the state-of-the-art vaccine development strategy that starts with predi...
This study aims to develop a deep learning (DL)-based (Mask R-CNN) method to predict the internal ta...
Antibiotic resistance constitutes a global threat and could lead to a future pandemic. One strategy ...
The methods of measuring laryngeal elevation during swallowing are time-consuming. We aimed to propo...
BACKGROUND: Efficacy of elvitegravir/cobicistat/emtricitabine/tenofovir disoproxil (E/C/F/TDF) in tr...
BACKGROUND: The degree of viral suppression in HIV patients who start antiretroviral therapy (ART) w...
During the course of a viral infection, virus-host protein-protein interactions (PPIs) play a critic...
, a gram-negative bacterium, is a common pathogen causing nosocomial infection. The drug-resistance...
BACKGROUND: It is unclear whether data-driven machine learning models, which are trained on large ep...
The 'Ending the HIV Epidemic (EHE)' national plan aims to reduce annual HIV incidence in the United ...